This page outlines key concepts in data science, emphasizing the four stages of the data science life cycle: data acquisition, exploration, analysis, and reporting. It highlights tools like Python and...This page outlines key concepts in data science, emphasizing the four stages of the data science life cycle: data acquisition, exploration, analysis, and reporting. It highlights tools like Python and libraries such as NumPy and Pandas, focusing on numerical analysis and data manipulation.